negspacy 0.1.0a0

A spaCy pipeline object for negation.

negspacy: negation for spaCy

spaCy pipeline object for negating concepts in text. Based on the NegEx algorithm.

NegEx - A Simple Algorithm for Identifying Negated Findings and Diseasesin Discharge Summaries Chapman, Bridewell, Hanbury, Cooper, Buchanan

Installation and usage

Install the library.

pip install negspacy

Import library and spaCy.

import spacy
from negspacy.negation import Negex

Load spacy language model. Add negspacy pipeline object. Filtering on entity types is optional.

nlp = spacy.load("en_core_web_sm")
negex = Negex(nlp, ent_types=["PERSON","ORG"])
nlp.add_pipe(negex, last=True)

View negations.

doc = nlp("She does not like Steve Jobs but likes Apple products.")

for e in doc.ents:
	print(e.text, e._.negex)

Steve Jobs True
Apple False

Contributing

contributing

Authors

• Jeno Pizarro

License

license

API Documentation

Docs